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https://doaj.org/article/2915b...
Article . 2016
Data sources: DOAJ
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OPTIMASI ENKRIPSI PASSWORD MENGGUNAKAN ALGORITMA BLOWFISH

Authors: Yani Parti Astuti; Eko Hari Rachmawanto; Christy Atika Sari;

OPTIMASI ENKRIPSI PASSWORD MENGGUNAKAN ALGORITMA BLOWFISH

Abstract

Seiring dengan perkembangan informasi yang terus meningkat salah satunya penggunaan komputerisasi dalam berbagai bidang. Hal ini erat kaitannya dengan penggunaan password dalam area komputerisasi. Rawannya manupulasi password dinilai sebagai hal yang perlu dicegah menggunakan data hiding. Salah satu teknik dalam data hiding yaitu Kriptografi. Dalam kriptografi terdapat banyak algoritma, salah satnya yang memiliki kehandalan yaitu algoritma blowfish. Sampai saat ini algoritma Blowfish belum ditemukan kelemahan yang berarti hanya adanya weak key dimana dua entri dari S-box mempunyai nilai yang sama. Belum ada cara untuk mengecek weak key sebelum melakukan key expansion, tetapi hal ini tidak berpengaruh terhadap hasil enkripsi. Hasil enkripsi dengan algoritma Blowfish sangat tidak mungkin dan tidak praktis untuk di terjemahkan tanpa bantuan kunci. Sampai kini belum ada Cryptanalysis yang dapat membongkar pesan tanpa kunci yang enkripsi oleh Blowfish. Hasil pengujian menunjukkan bahwa aplikasi bisa menjalankan fungsi-fungsi untuk melakukan proses enkripsi dan dekripsi data dengan baik. Waktu proses untuk enkripsi dan dekripsi untuk masing-masing file mempunyai sedikit perbedaan dikarenakan ukuran antara plainteks dan cipherteks juga berbeda, sedangkan waktu yang diperlukan juga lebih lama. Penelitian ini telah menghasilkan aplikasi enkripsi password yang telah diuji coba dan algoritma blowfish terbukti handal dalam mengamankan password. Kata kunci : Blowfish, Key-Expansion, Kriptografi, File.

Keywords

Information technology, T58.5-58.64

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average